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hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M

OLLAMA GGUF

qwen35 · 4.33B · unknown

Good

Aug 28, 2026 · Apple M4

qwen3:1.7b

OLLAMA GGUF

qwen3 · 2.0B · Q4_K_M

Good

Mar 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score
66 vs 72
Hardware Fit
100 vs 92
Quality Score
52 vs 63

Hardware

hf.co/empero-ai/Qw… qwen3:1.7b
MachineMacBook ProAZW GTR Pro
CPUApple M4AMD RYZEN AI MAX+ 395
Cores1032
RAM16 GB125 GB
GPUApple M4AMD Radeon 8060S
OSmacOS 26.6.1Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

hf.co/empero-ai/Qw… qwen3:1.7b
Tokens/sec26.5120.7
First chunk447 ms93 ms
TTFT447 ms1.5 s
Load time3.3 s2.5 s
Memory usage4.8 GB5.8 GB
Memory %30%5%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

Speed
50/50
TTFT
20/20
Memory
30/30

qwen3:1.7b

Speed
50/50
TTFT
12/20
Memory
30/30

Quality

hf.co/empero-ai/Qwen3.8…

Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor

qwen3:1.7b

Reasoning
13/20
Coding
6/20
Instruction
13/20
Structured
14/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View hf.co/empero-ai/Qw… details | View qwen3:1.7b details

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$ npm install -g metrillm@latest
$ metrillm

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Or run without installing: npx metrillm@latest